• DocumentCode
    2833262
  • Title

    Nonnegative Tensor Decomposition and It´s Applications in Image Processing

  • Author

    Yang, Hongli ; He, Guoping ; Dong, Yulin

  • Author_Institution
    Inf. Sci. & Eng. Coll., Shandong Univ. of Sci. & Technol., Qingdao
  • fYear
    2008
  • fDate
    Aug. 29 2008-Sept. 2 2008
  • Firstpage
    212
  • Lastpage
    217
  • Abstract
    Nonnegative tensor decomposition is an effective data processing technique that has proven to be useful for a wide variety of applications. In this paper we get some results that a three order tensor can be represented by the matrix product. By the representation of matrix product, we give an iterative algorithm for nonnegative tensor decomposition which has good performance. We also applied our algorithm to image processing, and the reconstruct image is in good quality.
  • Keywords
    image reconstruction; iterative methods; matrix decomposition; tensors; data processing technique; image processing; image quality; image reconstruction; iterative algorithm; matrix product representation; nonnegative tensor decomposition; Algebra; Application software; Computer science; Helium; Image processing; Information technology; Iterative algorithms; Matrix decomposition; Signal processing algorithms; Tensile stress; algorithm; image processing; nonnegative tensor decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2008. ICCSIT '08. International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-0-7695-3308-7
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2008.99
  • Filename
    4624863